Self-organized Criticality in a Model Based on Neural Network

Self-organized Criticality in a Model Based on

Neural Network

ZHAO Xiao-Wei;CHEN Tian-Lun

【期刊名称】《理论物理通讯（英文版）》 【年(卷),期】2001(036)009

【摘要】Based on the LISSOM neural network model, we introduce a model to investigate self-organized criticality in the activity of neural populations. The influence of connection (synapse) between neurons has been adequately considered in this model. It is found to exhibit self-organized criticality (SOC) behavior under appropriate conditions.``We also find that the learning process has promotive influence on emergence of SOC behavior. In addition, we analyze the influence of various factors of the model on the SOC behavior, which is characterized by the power-law behavior of the avalanche size distribution.`` 【总页数】6页(351-356)

【关键词】neuron network;self-organized criticality;avalanche 【作者】ZHAO Xiao-Wei;CHEN Tian-Lun

【作者单位】Department of Physics, Nankai University, Tianjin 300071, China;Department of Physics, Nankai University, Tianjin 300071, China 【正文语种】中文 【中图分类】O4 【相关文献】